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Paracetamol extended release FDM 3D printlets: Evaluation of formulation variables on printability and drug release

Samo za registrovane korisnike
2021
Autori
Đuranović, Marija
Obeid, Samiha
Madžarević, Marijana
Cvijić, Sandra
Ibrić, Svetlana
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentu
Apstrakt
Paracetamol printlets were prepared via hot-melt extrusion process and fused deposition modelling, using two types of backbone polymers. Polycaprolactone (PCL) and Polyethylene oxides (PEO) 100 K and 200 K were used, while Arabic gum was used as a plasticizer to facilitate the material flow and Gelucire® 44/14 as an enhancer of drug release. Different drug/polymer ratios were prepared. Extrusion temperature was adjusted according to the mixture/polymer types. It was possible to produce filaments with maximum of 60% w/w of drug. Mechanical properties of filaments were evaluated using three-point bend test, while obtained parameters were modelled using decision tree as a data mining method. Correlation between maximum displacement, maximum force and printability was obtained with accuracy of 84.85% and can be a useful tool for predicting printability of filaments. This study briefly demonstrated that backbone polymer in formulation plays crucial role in obtaining FDM printlets with desir...ed properties. PEO-based filaments were more prone to be clogged in printcore, but their printlets showed much faster drug release. Drug release from all printlets was prolonged: from 50% in 8 h (PCL), to complete release in 4 h (PEO). Paracetamol release kinetics was guided by anomalous transport, attributed to the diffusion and erosion process.

Ključne reči:
3D printing / Decision tree model / Extended release / Fused deposition modelling / Printability / Three-point bend test
Izvor:
International Journal of Pharmaceutics, 2021, 592
Finansiranje / projekti:
  • Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200161 (Univerzitet u Beogradu, Farmaceutski fakultet) (RS-200161)

DOI: 10.1016/j.ijpharm.2020.120053

ISSN: 0378-5173

WoS: 000600740100035

Scopus: 2-s2.0-85096158696
[ Google Scholar ]
25
12
URI
https://farfar.pharmacy.bg.ac.rs/handle/123456789/3775
Kolekcije
  • Radovi istraživača / Researchers’ publications
Institucija/grupa
Pharmacy
TY  - JOUR
AU  - Đuranović, Marija
AU  - Obeid, Samiha
AU  - Madžarević, Marijana
AU  - Cvijić, Sandra
AU  - Ibrić, Svetlana
PY  - 2021
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/3775
AB  - Paracetamol printlets were prepared via hot-melt extrusion process and fused deposition modelling, using two types of backbone polymers. Polycaprolactone (PCL) and Polyethylene oxides (PEO) 100 K and 200 K were used, while Arabic gum was used as a plasticizer to facilitate the material flow and Gelucire® 44/14 as an enhancer of drug release. Different drug/polymer ratios were prepared. Extrusion temperature was adjusted according to the mixture/polymer types. It was possible to produce filaments with maximum of 60% w/w of drug. Mechanical properties of filaments were evaluated using three-point bend test, while obtained parameters were modelled using decision tree as a data mining method. Correlation between maximum displacement, maximum force and printability was obtained with accuracy of 84.85% and can be a useful tool for predicting printability of filaments. This study briefly demonstrated that backbone polymer in formulation plays crucial role in obtaining FDM printlets with desired properties. PEO-based filaments were more prone to be clogged in printcore, but their printlets showed much faster drug release. Drug release from all printlets was prolonged: from 50% in 8 h (PCL), to complete release in 4 h (PEO). Paracetamol release kinetics was guided by anomalous transport, attributed to the diffusion and erosion process.
T2  - International Journal of Pharmaceutics
T1  - Paracetamol extended release FDM 3D printlets: Evaluation of formulation variables on printability and drug release
VL  - 592
DO  - 10.1016/j.ijpharm.2020.120053
ER  - 
@article{
author = "Đuranović, Marija and Obeid, Samiha and Madžarević, Marijana and Cvijić, Sandra and Ibrić, Svetlana",
year = "2021",
abstract = "Paracetamol printlets were prepared via hot-melt extrusion process and fused deposition modelling, using two types of backbone polymers. Polycaprolactone (PCL) and Polyethylene oxides (PEO) 100 K and 200 K were used, while Arabic gum was used as a plasticizer to facilitate the material flow and Gelucire® 44/14 as an enhancer of drug release. Different drug/polymer ratios were prepared. Extrusion temperature was adjusted according to the mixture/polymer types. It was possible to produce filaments with maximum of 60% w/w of drug. Mechanical properties of filaments were evaluated using three-point bend test, while obtained parameters were modelled using decision tree as a data mining method. Correlation between maximum displacement, maximum force and printability was obtained with accuracy of 84.85% and can be a useful tool for predicting printability of filaments. This study briefly demonstrated that backbone polymer in formulation plays crucial role in obtaining FDM printlets with desired properties. PEO-based filaments were more prone to be clogged in printcore, but their printlets showed much faster drug release. Drug release from all printlets was prolonged: from 50% in 8 h (PCL), to complete release in 4 h (PEO). Paracetamol release kinetics was guided by anomalous transport, attributed to the diffusion and erosion process.",
journal = "International Journal of Pharmaceutics",
title = "Paracetamol extended release FDM 3D printlets: Evaluation of formulation variables on printability and drug release",
volume = "592",
doi = "10.1016/j.ijpharm.2020.120053"
}
Đuranović, M., Obeid, S., Madžarević, M., Cvijić, S.,& Ibrić, S.. (2021). Paracetamol extended release FDM 3D printlets: Evaluation of formulation variables on printability and drug release. in International Journal of Pharmaceutics, 592.
https://doi.org/10.1016/j.ijpharm.2020.120053
Đuranović M, Obeid S, Madžarević M, Cvijić S, Ibrić S. Paracetamol extended release FDM 3D printlets: Evaluation of formulation variables on printability and drug release. in International Journal of Pharmaceutics. 2021;592.
doi:10.1016/j.ijpharm.2020.120053 .
Đuranović, Marija, Obeid, Samiha, Madžarević, Marijana, Cvijić, Sandra, Ibrić, Svetlana, "Paracetamol extended release FDM 3D printlets: Evaluation of formulation variables on printability and drug release" in International Journal of Pharmaceutics, 592 (2021),
https://doi.org/10.1016/j.ijpharm.2020.120053 . .

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